A bestselling introduction to statistical ideas and practice for the liberal arts statistics course.

Statistics: Concepts and Controversies (SCC) introduces liberal arts majors to statistical ideas—and shows you how to use those ideas to think about the statistical claims you see every day from polls, campaigns, advertising, public policy, and many different fields of study. The ultimate goal is to equip you with solid statistical reasoning skills that will help you understand the impact of statistics on all aspects of our lives. This edition offers a new section on big data, as well as a signature combination of engaging cases, real-life examples, and innovative media learning tools, all significantly updated. A variety of different types of exercises will help you test your understanding throughout.

3 What Do Samples Tell Us? Case Study From sample to population Sampling variability Margin of error and all that Confidence statements Sampling from large populations Statistical Controversies: Should Election Polls Be Banned? Statistics in Summary Link It Case Study Evaluated LaunchPad Online Resources Check the Basics Chapter 3 Exercises Exploring the Web

4 Sample Surveys in the Real World Case Study How sample surveys go wrong Sampling errors Nonsampling errors Wording questions How to live with nonsampling errors Sample design in the real world The challenge of Internet surveys Statistical Controversies: The Harris Online Poll Probability samples Questions to ask before you believe a poll Statistics in Summary Link It Case Study Evaluated LaunchPad Online Resources Check the Basics Chapter 4 Exercises Exploring the Web

5 Experiments, Good and Bad Case Study Talking about experiments How to experiment badly Randomized comparative experiments The logic of experimental design Statistical significance How to live with observational studies Statistics in Summary Link It Case Study Evaluated LaunchPad Online Resources Check the Basics Chapter 5 Exercises Exploring the Web

6 Experiments in the Real World Case Study Equal treatment for all Double-blind experiments Refusals, nonadherers, and dropouts Can we generalize? Experimental design in the real world Matched pairs and block designs Statistical Controversies: Is It or Isn’t It a Placebo? Statistics in Summary Link It Case Study Evaluated LaunchPad Online Resources Check the Basics Chapter 6 Exercises Exploring the Web

9 Do the Numbers Make Sense? Case Study What didn’t they tell us? Are the numbers consistent with each other? Are the numbers plausible? Are the numbers too good to be true? Is the arithmetic right? Is there a hidden agenda? Statistics in Summary Link It Case Study Evaluated LaunchPad Online Resources Check the Basics Chapter 9 Exercises Exploring the Web

Part III Review Part III Summary Part III Review Exercises Part III Projects

PART IV Inference 21 What Is a Confidence Interval? Case Study Estimating Estimating with confidence Understanding confidence intervals More on confidence intervals for a population proportion∗ The sampling distribution of a sample mean∗ Confidence intervals for a population mean* Statistics in Summary Link It Case Study Evaluated LaunchPad Online Resources Check the Basics Chapter 21 Exercises Exploring the Web

22 What Is a Test of Significance? Case Study The reasoning of statistical tests of significance Hypotheses and P-values Statistical significance Calculating P-values∗ Tests for a population mean∗ Statistics in Summary Link It Case Study Evaluated LaunchPad Online Resources Check the Basics Chapter 22 Exercises Exploring the Web

David S. Moore

David S. Moore is Shanti S. Gupta Distinguished Professor of Statistics, Emeritus, at Purdue University and was 1998 president of the American Statistical Association. He received his AB from Princeton and his PhD from Cornell, both in mathematics. He has written many research papers in statistical theory and served on the editorial boards of several major journals. Professor Moore is an elected fellow of the American Statistical Association and of the Institute of Mathematical Statistics and an elected member of the International Statistical Institute. He has served as program director for statistics and probability at the National Science Foundation.
In recent years, Professor Moore has devoted his attention to the teaching of statistics. He was the content developer for the Annenberg/Corporation for Public Broadcasting college-level telecourse Against All Odds: Inside Statistics and for the series of video modules Statistics: Decisions through Data, intended to aid the teaching of statistics in schools. He is the author of influential articles on statistics education and of several leading texts. Professor Moore has served as president of the International Association for Statistical Education and has received the Mathematical Association of America’s national award for distinguished college or university teaching of mathematics.

William I. Notz

William I. Notz is Professor of Statistics at the Ohio State University. He received his B.S. in physics from the Johns Hopkins University and his Ph.D. in mathematics from Cornell University. His first academic job was as an assistant professor in the Department of Statistics at Purdue University. While there, he taught the introductory concepts course with Professor Moore and as a result of this experience he developed an interest in statistical education. Professor Notz is a co-author of EESEE (the Electronic Encyclopedia of Statistical Examples and Exercises) and co-author of Statistics: Concepts and Controversies.
Professor Notz’s research interests have focused on experimental design and computer experiments. He is the author of several research papers and of a book on the design and analysis of computer experiments. He is an elected fellow of the American Statistical Association. He has served as the editor of the journal Technometrics and as editor of the Journal of Statistics Education. He has served as the Director of the Statistical Consulting Service, as acting chair of the Department of Statistics for a year, and as an Associate Dean in the College of Mathematical and Physical Sciences at the Ohio State University. He is a winner of the Ohio State University’s Alumni Distinguished Teaching Award.

New edition of Moore's bestselling introduction to statistical ideas and practice for the liberal arts statistics course.

A bestselling introduction to statistical ideas and practice for the liberal arts statistics course.

Statistics: Concepts and Controversies (SCC) introduces liberal arts majors to statistical ideas—and shows you how to use those ideas to think about the statistical claims you see every day from polls, campaigns, advertising, public policy, and many different fields of study. The ultimate goal is to equip you with solid statistical reasoning skills that will help you understand the impact of statistics on all aspects of our lives. This edition offers a new section on big data, as well as a signature combination of engaging cases, real-life examples, and innovative media learning tools, all significantly updated. A variety of different types of exercises will help you test your understanding throughout.

E-book

Read online (or offline) with all the highlighting and notetaking tools you need to be successful in this course.

3 What Do Samples Tell Us? Case Study From sample to population Sampling variability Margin of error and all that Confidence statements Sampling from large populations Statistical Controversies: Should Election Polls Be Banned? Statistics in Summary Link It Case Study Evaluated LaunchPad Online Resources Check the Basics Chapter 3 Exercises Exploring the Web

4 Sample Surveys in the Real World Case Study How sample surveys go wrong Sampling errors Nonsampling errors Wording questions How to live with nonsampling errors Sample design in the real world The challenge of Internet surveys Statistical Controversies: The Harris Online Poll Probability samples Questions to ask before you believe a poll Statistics in Summary Link It Case Study Evaluated LaunchPad Online Resources Check the Basics Chapter 4 Exercises Exploring the Web

5 Experiments, Good and Bad Case Study Talking about experiments How to experiment badly Randomized comparative experiments The logic of experimental design Statistical significance How to live with observational studies Statistics in Summary Link It Case Study Evaluated LaunchPad Online Resources Check the Basics Chapter 5 Exercises Exploring the Web

6 Experiments in the Real World Case Study Equal treatment for all Double-blind experiments Refusals, nonadherers, and dropouts Can we generalize? Experimental design in the real world Matched pairs and block designs Statistical Controversies: Is It or Isn’t It a Placebo? Statistics in Summary Link It Case Study Evaluated LaunchPad Online Resources Check the Basics Chapter 6 Exercises Exploring the Web

9 Do the Numbers Make Sense? Case Study What didn’t they tell us? Are the numbers consistent with each other? Are the numbers plausible? Are the numbers too good to be true? Is the arithmetic right? Is there a hidden agenda? Statistics in Summary Link It Case Study Evaluated LaunchPad Online Resources Check the Basics Chapter 9 Exercises Exploring the Web

Part III Review Part III Summary Part III Review Exercises Part III Projects

PART IV Inference 21 What Is a Confidence Interval? Case Study Estimating Estimating with confidence Understanding confidence intervals More on confidence intervals for a population proportion∗ The sampling distribution of a sample mean∗ Confidence intervals for a population mean* Statistics in Summary Link It Case Study Evaluated LaunchPad Online Resources Check the Basics Chapter 21 Exercises Exploring the Web

22 What Is a Test of Significance? Case Study The reasoning of statistical tests of significance Hypotheses and P-values Statistical significance Calculating P-values∗ Tests for a population mean∗ Statistics in Summary Link It Case Study Evaluated LaunchPad Online Resources Check the Basics Chapter 22 Exercises Exploring the Web

David S. Moore

David S. Moore is Shanti S. Gupta Distinguished Professor of Statistics, Emeritus, at Purdue University and was 1998 president of the American Statistical Association. He received his AB from Princeton and his PhD from Cornell, both in mathematics. He has written many research papers in statistical theory and served on the editorial boards of several major journals. Professor Moore is an elected fellow of the American Statistical Association and of the Institute of Mathematical Statistics and an elected member of the International Statistical Institute. He has served as program director for statistics and probability at the National Science Foundation.
In recent years, Professor Moore has devoted his attention to the teaching of statistics. He was the content developer for the Annenberg/Corporation for Public Broadcasting college-level telecourse Against All Odds: Inside Statistics and for the series of video modules Statistics: Decisions through Data, intended to aid the teaching of statistics in schools. He is the author of influential articles on statistics education and of several leading texts. Professor Moore has served as president of the International Association for Statistical Education and has received the Mathematical Association of America’s national award for distinguished college or university teaching of mathematics.

William I. Notz

William I. Notz is Professor of Statistics at the Ohio State University. He received his B.S. in physics from the Johns Hopkins University and his Ph.D. in mathematics from Cornell University. His first academic job was as an assistant professor in the Department of Statistics at Purdue University. While there, he taught the introductory concepts course with Professor Moore and as a result of this experience he developed an interest in statistical education. Professor Notz is a co-author of EESEE (the Electronic Encyclopedia of Statistical Examples and Exercises) and co-author of Statistics: Concepts and Controversies.
Professor Notz’s research interests have focused on experimental design and computer experiments. He is the author of several research papers and of a book on the design and analysis of computer experiments. He is an elected fellow of the American Statistical Association. He has served as the editor of the journal Technometrics and as editor of the Journal of Statistics Education. He has served as the Director of the Statistical Consulting Service, as acting chair of the Department of Statistics for a year, and as an Associate Dean in the College of Mathematical and Physical Sciences at the Ohio State University. He is a winner of the Ohio State University’s Alumni Distinguished Teaching Award.